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A vector database, vector store or vector search engine is a database that can store vectors (fixed-length lists of numbers) along with other data items. Vector databases typically implement one or more Approximate Nearest Neighbor algorithms, [1] [2] [3] so that one can search the database with a query vector to retrieve the closest matching database records.
Support of vector quantization for lossy input data compression, including product quantization (PQ) and scalar quantization (SQ), that trades stored data size for accuracy, Re-ranking. Milvus similarity search engine relies on heavily-modified forks of third-party open-source similarity search libraries, such as Faiss , [ 7 ] [ 8 ] DiskANN [ 9 ...
Actian DataConnect (originally Data Junction), is a versatile data integration platform that enables companies to connect, transform, and manage data across multiple systems and applications. [ 51 ] It supports real-time synchronization, complex transformations, and comprehensive API connectivity, making it ideal for complex enterprise workflows.
Vector file sizes are usually smaller than raster data, which can be tens, hundreds or more times larger than vector data (depending on resolution). Vector data is simpler to update and maintain, whereas a raster image will have to be completely reproduced. (Example: a new road is added). Vector data allows much more analysis capability ...
Simple Features – specification for vector data storage (by Open Geospatial Consortium) that can be used in a GML container; GeoJSON – open, lightweight format based on JSON, used by many open source GIS packages; GeoMedia – Microsoft Access based format for spatial vector storage (by Intergraph)
A hybrid topological data model has the option of storing topological relationship information as a separate layer built on top of a spaghetti data set. An example is the network dataset within the Esri geodatabase. [23] Vector data are commonly used to represent conceptual objects (e.g., trees, buildings, counties), but they can also represent ...
A georelational data model is a geographic data model that represents geographic features as an interrelated set of spatial and attribute data. The georelational model was the dominant form of vector file format during the 1980s and 1990s, including the Esri coverage and Shapefile. [1]
The Geospatial Data Abstraction Library (GDAL) is a computer software library for reading and writing raster and vector geospatial data formats (e.g. shapefile), and is released under the permissive X/MIT style free software license by the Open Source Geospatial Foundation.